HECLA MINING CODE

Internal Controls on Exploration and Development Drilling Programs

Exploration and development drilling programs are performed using Industry Standard quality control methods for drilling, sampling, and analytical procedures. Standard operating procedure manuals for geology logging, sampling, and assaying are kept at the operations and updated as required. A secure sample chain-of-custody is established to promote the security of samples during transport from the projects to the analytical facilities. All primary analytical laboratories are ISO 9001 certified and sample preparation and analytical procedures are Industry Standard methods for the metals of interest.

Sample batches sent for analysis are controlled by a system of reference samples of known grade inserted into the sample stream and other control samples. Coarse and fine ‘blank,’ sterile, sample materials are used to monitor contamination at the sample preparation and analytical stages; Standard Reference Materials (“SRM”) of known grades are used to measure accuracy of the analytical results; and pulp duplicate samples and coarse reject duplicate samples are used to monitor precision of the analytical results. Blanks and SRM are inserted according to the analytical batch size and overall number of samples but normally result in a 1:10 to 1:20 insertion rate. Duplicate samples are inserted or requested using a similar 1:10 to 1:20 inclusion rate. As a final measure of assay quality, 5% to 10% of the original samples are sent to a second analytical laboratory for check analysis. Periodically, the Company retains experts to perform audits of the commercial laboratories used in the United States, Mexico and Canada.

The main operating properties store data in SQL-based relational database utilities with built-in logic checks that are implemented as new data is imported. Accurate data entry into the database is confirmed by verification upon data entry/import and again before use in final geology interpretation and resource modeling with checks of new data collected during yearly drilling programs.

Geology and mineral control interpretations, grade estimation parameters, grade and density models, reserve estimation parameters, and modifying factors are peer reviewed within the company. Resource grade models are validated using Industry Standard methods and appropriate documentation and reporting are completed to summarize methods and results. All resource and reserve tabulations at the operations are approved by the local management, with their own sets of controls, and then are compiled by the corporate office which also performs its own set of checks on the final numbers.

All personnel responsible for the management of mineral resource and mineral reserve modeling and approval and reporting of mineral resource and mineral reserve statements are QPs with relevant experience in the type of mineralization and deposit under consideration and in the specific type of activity undertaken for the company. All are eligible members or licensees in good standing of a recognized professional organization based on their academic qualifications and experience and comply with professional standards of competence and ethics. We encourage continuing professional development and training for current QPs as well as others in the Company to develop other QPs within the various departments.

As projects advance toward development and production, data density and the geological understanding of the mineral deposit increases. The Company’s internal controls limit some risk in the resource estimation process, but there is inherent risk in resource modeling due to mineral deposit heterogeneity, sample size and distribution, mining style and mining factor assumptions, and mineral processing issues. Independent audits of reserve models from an outside specialist are arranged on a periodic basis for an operating property. The senior technical staff can also determine when changes in mineral resource and reserve models or negative mine reconciliations are material and recommend internal or external auditing of the models and modifying factors.